CN101126700A - Pollen image data analysis method and system - Google Patents
Pollen image data analysis method and system Download PDFInfo
- Publication number
- CN101126700A CN101126700A CNA2007101752180A CN200710175218A CN101126700A CN 101126700 A CN101126700 A CN 101126700A CN A2007101752180 A CNA2007101752180 A CN A2007101752180A CN 200710175218 A CN200710175218 A CN 200710175218A CN 101126700 A CN101126700 A CN 101126700A
- Authority
- CN
- China
- Prior art keywords
- pollen
- data
- image data
- particle
- carried out
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Abstract
The utility model provides a data analytical method and a system of pollen images, comprising image data processing of pollen grains (drawing of straight or curve line in the image data of pollen grains), drawing of various figures, character deepening and/or filling, pseudocolor processing, revolving and duplicating of the image data of pollen grains, moving of whole or part of the image data of pollen grains, amplifying and reducing with interpolation of the image data of pollen grains. Then the amount data of the pollen grains is obtained through the identification measurement, breaking through and classification of the image data of pollen grains after image processing. The obtained amount data of the pollen grains is processed with data statistics. At last, the amount data of the pollen grains after data statistics is processed with data analysis and the result after data analysis processing can be gained. The utility model can solve the problem of low efficiency of artificial pollen monitoring analysis and inaccuracy of the pollen monitoring result.
Description
Technical field
The present invention relates to pollen granule sub-image data analysis field, relate in particular to a kind of pollen granule sub-image data analysing method and system.
Background technology
Pollen is the male sex-cell of plant, can be divided into anemophily, entomophila, hydrophily pollen etc. with circulation way, and anemophilous pollen is also referred to as gas and passes pollen.When pollen was propagated in air, some people just can produce allergic reaction suck pollen in respiratory after, i.e. pollinosis (Pollinosis).The professional is according to for many years experience, and summed up 5 standards judging sensitization pollen: 1) pollen amount is big, and content is higher in air; 2) the pollen volume is little, is easy to suck respiratory tract; 3) great majority pass pollen for gas; 4) plant that produces this kind pollen grows extensively; 5) pollen contains and can cause irritated antigen, and this is the most important point.It is the important composition composition of atmosphere bioaerosol that gas passes pollen, be easy in air, propagate, when passing, gas just can cause the popular of pollinosis when sensitization pollen reaches finite concentration, thereby influence the normal life of Susceptible population, even jeopardize patient's life, cause inestimable loss to social economy to a certain extent.Entomophila and hydrophily pollen are seldom propagated in air, can not cause the popular of pollinosis, and therefore, the monitoring of gas biography pollen concentration is extremely important.
Current main employing settling methods is gathered pollen, carries out pollen classification and statistical counting with artificial microscopy method then.So-called artificial microscopy method is exactly the pollen print after experienced observation person conscientiously observes 400 times of amplifications of Photobiology microscopically line by line, manually differentiates the pollen granule subcategory, the number and the pollen frequency of the different pollen of complicate statistics.Mainly there is following shortcoming in artificial microscopy method:
1) observation person's labour intensity is bigger, easily causes physical fatigue, thereby reduces monitoring accuracy;
2) observer's observation technology is had relatively high expectations, need can grasp the microscopic morphology feature of different pollen particles exactly through long-term constantly technical training, correctly discern pollen, one has staff redeployment, the new pollen observer of necessary training;
3) monitoring result is subjected to artificial factor, and the monitoring result difference that different observers draw is bigger;
4) send out the peak period at pollen, longer because of reading the sheet time under the mirror, easily cause observer's eyes muscular fatigue, influence counting and work efficiency.
Because there is above-mentioned shortcoming in current techniques, make that current artificial microscopy method is not high to the efficient of pollen monitoring analysis, and be difficult to guarantee the accuracy rate of pollen monitoring result, therefore currently need a kind of technical scheme that pollen granule sub-image data are analyzed badly.
Summary of the invention
Technical matters to be solved by this invention provides a kind of pollen granule sub-image data analysing method and system, solves current artificial not highly to the efficient of pollen monitoring analysis, and is difficult to guarantee the problem of the accuracy rate of pollen monitoring result.
In order to address the above problem, the invention provides a kind of pollen image data analysis method, may further comprise the steps,
Step T1, pollen granule sub-image data are carried out Flame Image Process; Described Flame Image Process comprises carries out picture straight line or curve to pollen granule sub-image data; Draw various figures; Deepen literal and/or filling; Pollen granule sub-image data are carried out the puppet coloured silk handles, rotates, duplicates; Mobile view picture or partial pollen particle image data; Pollen granule sub-image data are amplified, dwindled to interpolation;
Step T2, the pollen granule sub-image data after the Flame Image Process are discerned measurement, breakthrough, classification, obtain the data of the number of pollen particle;
Step T3, the data of the number of the pollen particle that obtains are carried out data statistics handle, data statistics mean value, intermediate value, standard deviation, square value, minimum value, the maximal value that comprises the number of the pollen particle that obtains handled in described data statistics;
Step T4, the data of the number of the pollen particle after the data statistics are carried out data analysis handle, obtain the result after data analysis is handled.
Further, said method can comprise that also among the described step T1, described Flame Image Process comprises carries out brightness, contrast adjustment to pollen granule sub-image data; Pollen granule sub-image data are carried out smoothing processing; Pollen granule sub-image data are carried out sharp keenization, embossment, border enhancement process; Pollen particle in the pollen granule sub-image data is carried out burn into form expanded, that expand, shrink handle, pollen granule sub-image data are carried out the overlapping processing of copolymerization of different depth of field pictures.
Further, said method also can comprise, among the described step T3, described data statistics processing comprises that the data to the number of the pollen particle that obtains are used for the statistical treatment of survey area, diameter, girth, particle size, length, width, average variance, particle position, data programing amount, 3 D stereo parameter.
Further, said method also can comprise, among the described step T4, the number that comprises the pollen particle after logarithm is according to statistics handled in described data analysis data based actually requires to carry out difference and classify all kinds of charts of the different demands that are resolved.
Further, said method also can comprise, comprises behind the described step T4, and the printout as a result after described data analysis is handled also shows.
The present invention also provides a kind of pollen image data analytic system, comprises image processing module, the identification measurement module, and the statistical treatment module, statistical analysis module, wherein,
Image processing module is used for pollen granule sub-image data are carried out the straight or curve of picture; Draw various figures; Deepen literal and/or filling; Pollen granule sub-image data are carried out the puppet coloured silk handles, rotates, duplicates; Mobile view picture or partial pollen particle image data; Pollen granule sub-image data are amplified, dwindled to interpolation; Give the identification measurement module with the pollen granule sub-image data transmission after handling;
Identification measurement module, the pollen granule sub-image data after being used for image processing module handled discern measure break through, classification, obtain the data of the number of pollen particle, give the statistical treatment module with the data transmission of the number of the pollen particle that obtains;
The statistical treatment module is used for that the data of the number of the pollen particle that obtains of identification measurement module are carried out data statistics and handles, and the data transmission of the number of the pollen particle after data statistics is handled is given statistical analysis module; Described data statistics processing comprises data statistics mean value, intermediate value, standard deviation, square value, minimum value, the maximal value to the number of the pollen particle that obtains;
Statistical analysis module, the data of the number of the pollen particle after the data statistics that is used for that the statistical treatment module is obtained is handled carry out data analysis to be handled, and obtains the result after data analysis is handled.
Further, said system can comprise that also described image processing module also is used for pollen granule sub-image data are carried out brightness, contrast adjustment; Pollen granule sub-image data are carried out smoothing processing; Pollen granule sub-image data are carried out sharp keenization, embossment, border enhancement process; Pollen particle in the pollen granule sub-image data is carried out burn into form expanded, that expand, shrink handle, pollen granule sub-image data are carried out the overlapping processing of copolymerization of different depth of field pictures.
Further, said system can comprise that also described data statistics processing comprises that the data to the number of the pollen particle that obtains are used for the statistical treatment of survey area, diameter, girth, particle size, length, width, average variance, particle position, data programing amount, 3 D stereo parameter.
Further, said system also can comprise, the number that comprises the pollen particle after logarithm is according to statistics handled in the described data analysis of described statistical analysis module data based actually requires to carry out difference and classify all kinds of charts of the different demands that are resolved.
Further, said system also can comprise, also comprises the printing display module, and the printout as a result after the data analysis that is used for that statistical analysis module is obtained is handled also shows.
For prior art, use the present invention and have the following advantages:
Use the present invention and carry out pollen discriminating and statistics, realized the function of automatic statistics pollen frequency, more than total counting number rate of accuracy reached to 70%, reduced the error of human factor.
Description of drawings
Fig. 1 is the process flow diagram of a kind of pollen image data analysis method in the specific embodiment of the invention;
Fig. 2 is the structural representation of a kind of pollen image data analytic system in the specific embodiment of the invention.
Embodiment
The invention will be further described below in conjunction with the drawings and specific embodiments.
A kind of pollen granule sub-image data acquisition system (DAS) and analytic system are that light harvesting, mechanical, electrical, computer image processing technology are in high precision, the robotization micro image collection system of one.This system mainly utilizes three electric tables of precision optical machinery, there is pollen granule subsample (promptly gas passes the print of pollen particle) to carry out high magnification optics amplification imaging by microscope (optical microscope) to collection, and the pollen granule sub-image after will amplifying through the CCD camera system deposits hard disc of computer in, and the applies image analysis system analyzes the object image data then.
Divide according to function, this system mainly is made up of the two large divisions: pollen granule sub-image data acquisition system (DAS) and pollen granule sub-image data analysis system.
Pollen granule sub-image data acquisition system (DAS) comprises microscope, electric table system, photographing module, image transmission module, illuminator, and air pressure module, display module, central control system, wherein,
The electric table system is used to control moving of pollen granule subsample, and microscope is focused on the pollen granule subsample; The electric table system comprises three electric tables, motion-control module;
Three electric tables are used for mobile pollen granule subsample and make microscope focus on the pollen granule subsample;
Motion-control module is used for controlling and drive the displacement of three electric tables on X, Y, three directions of Z axle by keyboard or JOG control enclosure;
Photographing module is used to catch the magnified image of the shown pollen granule subsample of microscope, and is converted into image file; Photographing module comprises camera, image capture module;
Camera is used to catch the magnified image of the shown pollen granule subsample of microscope;
Camera comprises CCD camera or CMOS camera.
Image capture module is used to obtain the image of camera collection, and is converted into image file.
Image transmission module is used for giving central control system with the image file transfers of photographing module conversion;
Illuminator, illumination when being used for microscope focusing pollen granule subsample, comprise the downward reflection source of all around direction of illumination, and the transmitted light source of projection upwards, the light wave that central control system can be controlled the strong and weak of the direction of illumination of On/Off, light source of light source and light source and make each light emitted different wave length; Wherein the downward reflection source of direction of illumination all around can be installed in around the camera, and upwards the transmitted light source of projection can be placed in three electric tables of pollen granule subsample;
Provide illuminator can reach good illuminating effect and sample clearly, improve sampling resolution.
Trickle object is when amplification imaging, and its highest resolution depends on the wavelength of the light wave that is reflected, and wavelength is short more, and resolution is just high more, and the light source of illuminator of the present invention can be launched short wavelength's light wave here.
The air pressure module is used for when microscope focuses on the pollen granule subsample, by the control of central control system, forms a positive air pressure on the pollen granule subsample;
The air pressure module is installed in the micro objective side, contains gas outlet in the air pressure module, and gas outlet is parallel to the micro objective side, guarantees to form on the pollen granule subsample positive air pressure vertically downward.
By the air pressure module can filtering pollen granule subsample and microscopical object lens between air in particle, improve sampling degree of accuracy and resolution.
Central control system can be controlled the opening and closing of air pressure module and the power of the control positive air pressure pressure that forms.
Display module is used to show the process of whole collection;
Central control system, be used for control to whole pollen granule sub-image data acquisition, comprise the electric table system is carried out motion control, illuminator thrown light on control and the On/Off of control air pressure module and the power that produces positive air pressure pressure, and the image file after the magnified image of the pollen granule subsample that microscope is shown and the conversion shows on display module, image file after the storage conversion is simultaneously finished the collection of pollen granule sub-image data; Central control system comprises memory module;
Memory module is used for the file that whole gatherer process produces is stored.
The invention will be further described below in conjunction with instantiation.
In this example, pollen granule sub-image data acquisition system (DAS) comprises continuous adjustable focus microscope, three electrical measuring instruments of contactless micro-imaging, and the CCD camera, image pick-up card, illuminator, the positive pressure air pump, computing machine, wherein,
The electric table system is that three electrical measuring instruments of contactless micro-imaging, motion-control module are that three electric table drive systems (comprising stepper drive motors and motion control card), central control system are that computing machine, image capture module are that image pick-up card (abbreviation capture card), air pressure module are the positive pressure air pump.
The adjustable focus microscope can be an electronic automatic continuous zoom microscope continuously; Enlargement ratio can be realized the 75-750x continuous vari-focus for 75-750x (1.5-15x);
Three electrical measuring instruments of wherein contactless micro-imaging comprise, comprise three electric tables, three electric table drive systems (comprising stepper drive motors and motion control card), electrical measuring instrument Control Software (abbreviation Control Software);
Three electric table drive systems are used for and computing machine exchange command and parameter, and drive three electric tables and move;
The mobile control of three electric tables is divided into manually and electronic two kinds; Can realize Z axle manual coarse adjustment and fine setting by Z axle focusing handwheel.The electrical measuring instrument Control Software normally starts after the operation, can realize the electricity driving displacement of worktable on X, Y, three directions of Z axle by keyboard or JOG control enclosure.
The electronic bearing accuracy of three electric tables is higher, and concrete parameter is as follows:
.X, Y, Z axle bearing accuracy:＜=1～3um
.X, Y-axis repetitive positioning accuracy: 0.5～1um
.Z axle is measured repetitive positioning accuracy:＜=1～3um
. table stroke (i.e. observation and moving range): X＜=100mm, Y＜=100mm
. glass platform size: 180mm*180mm
Three electronic movings range of electric table Z axle are littler than manual moving range, should be earlier during focal plane in the location with the focusing handwheel thick focal plane of harmonizing, and then the electricity consumption flowing mode carries out accurate focal plane and regulates.
The Keyboard Control mode: the Keyboard Control button ←, →, ↑, ↓ four keys can control three electric tables and move on X-Y plane; Two keys of PageUp, PageDn are used to control electric table moving on Z-direction.
JOG control enclosure control mode: the control handle on the rotation JOG control enclosure panel, when making it point to the PC sign, the JOG control enclosure can not be controlled the motion of three worktable, by three working table movement of computer control, is " √ " before the control enclosure in the upper right corner, this computer-chronograph master interface indication JOG; Control handle on the rotating panel when making it point to the JOG sign, has only the JOG control enclosure can control the motion of three worktable, and computing machine can not controlled three working table movement, is " * " before the control enclosure indication JOG in the upper right corner, this computer-chronograph master interface.When JOG controls when effective, click the X+ on the control enclosure panel, X-, Y+, Y-, Z+, the Z-button can be controlled the motion of three worktable respectively.
After bringing to focus and choosing image position, just can carry out the pollen granule sub-image and observe and image acquisition with the electrical measuring instrument Control Software.
Three electric tables are used for focusing on and the moving target thing in the automatic or manual mode.
Transmitted light source is installed in three electric tables in the illuminator, and reflection source is installed in around the CCD camera;
Reflection source can be a soft fiber cold light, and parameter can be 12V100W, around continuous adjustable focus microscope camera lens, is used for opaque article and observes.
Transmitted light source, parameter can be 6V20W, in table base, is used for transparent substance and observes.
The positive pressure air pump is installed in the micro objective side, and gas outlet is parallel to the micro objective side, guarantees to form on the pollen granule subsample positive air pressure vertically downward;
The CCD camera links to each other with microscope by C type interface, links to each other with image pick-up card by the CS-232 interface, is used to catch microscopical magnified image;
Image pick-up card, motion control card are inserted in respectively in the PCI slot of computing machine (being PC) main frame, and Control Software is installed on computers.Computing machine can be controlled illuminator and positive pressure air pump in sampling process, the image that the CCD camera obtains passes to computing machine and saves as image file via image pick-up card; Via three electric table drive system exchange commands and parameter, realized control between Control Software and three electric tables to non-contact 3-D image electrical measuring instrument.
Can show CCD institute capturing video in real time by computing machine; Can set the electronic mobile step distance of X, Y, three directions of X; Can adjust the position of three electric tables, make three shaft mechanicals all get back to true origin; Can also be with manual or automated manner memory image file etc.
A kind of flow process of pollen granule sub-image collecting method may further comprise the steps,
Step 110, open system are provided with the parameter of three electrical measuring instruments of contactless micro-imaging, start computing machine three electrical measuring instruments of contactless micro-imaging are controlled;
After normal unlatching of system's all hardware equipment and the operation, start computing machine three electrical measuring instruments of contactless micro-imaging are controlled.
Step-length when computing machine can be set three electric table keyboard fast moving by the fast moving step-length.The keyboard fast moving is exactly when pinning Ctrl, pin three electric tables keyboard control key ' ←, →, ↑, ↓, PageUp or PageDn ', three electric tables will be with ' fast moving step-length ' fast moving.
Step 120, pollen granule increment sheet is focused on;
Computing machine can be set the stroke range of electronic focusing.
Pollen granule increment sheet is placed on the glass plate of three electric tables, and place the microscope camera lens under, microscope enlargement factor handle places 5 places, regulate the Z axle to the layer at pollen particle place with focusing handwheel, re-use keyboard and carry out the precision focusing, and regulate transmitted light source and reflection source, make the pollen particle on the display present image clearly;
Step 130, collection pollen granule sub-image file also store computing machine into;
Step 140, several pollen granule sub-image files of continuous acquisition also store computing machine into;
Set the sampling frame number, select store path, import primary filename, set initial serial number, set sampling interval,, start the automatic continuous acquisition function of several pollen granule sub-images by ' beginning ' button.
Current pollen granule sub-image is the starting point of continuous acquisition, gathers (X to totalframes * Y to totalframes) individual file altogether with fixing stepping from the off, and filename is with basic name of file and file sequence number composition.The sampling interval time set time interval between three double displacements of electric table.
Three electric tables fixedly step distance can be selected by the drop-down button under the red point in the upper right corner, software master interface.
Can see moving of three electric tables in the automatic continuous acquisition process of several pollen granule sub-images, when the collection of continuous pollen granule sub-image is finished, three electric tables are retracted the start position before the continuous acquisition and are stopped to move, and finish the automatic continuous acquisition of several pollen granule sub-images.
Fig. 1 has described a kind of flow process of pollen image data analysis method, and the pollen granule sub-image data that are used for pollen granule sub-image data acquisition system (DAS) is obtained are analyzed, may further comprise the steps,
Step T1, pollen granule sub-image data are carried out Flame Image Process;
Flame Image Process comprises carries out picture straight line or curve to pollen granule sub-image data; Draw various figures; Deepen literal and/or filling; Pollen granule sub-image data are carried out the puppet coloured silk handles, rotates, duplicates; Mobile view picture or partial pollen particle image data; Pollen granule sub-image data are amplified, dwindled to interpolation; Pollen granule sub-image data are carried out brightness, contrast adjustment; Pollen granule sub-image data are carried out smoothing processing; Pollen granule sub-image data are carried out sharp keenization, embossment, border enhancement process; Pollen particle in the pollen granule sub-image data is carried out burn into form expanded, that expand, shrink handle, pollen granule sub-image data are carried out the overlapping processing of copolymerization of different depth of field pictures;
Step T2, the pollen granule sub-image data after the Flame Image Process are discerned measurement, breakthrough, classification, obtain the data of the number of pollen particle;
Step T3, the data of the number of the pollen particle that obtains are carried out data statistics handle;
Described data statistics processing comprises data statistics mean value, intermediate value, standard deviation, square value, minimum value, the maximal value to the number of the pollen particle that obtains; Be used for survey area, diameter, girth, particle size, length, width, average variance, particle position, data programing amount, 3 D stereo parameter etc.
Step T4, the data of the number of the pollen particle after the data statistics are carried out data analysis handle, obtain the result after data analysis is handled;
Described data analysis is handled and is comprised that according to the reality requirement data of the number of the pollen particle after the data statistics being carried out difference classifies all kinds of charts of the different demands that are resolved.
Step T5, the printout as a result after described data analysis handled also show.
Fig. 2 is a kind of synoptic diagram of pollen image data analytic system.
A kind of pollen image data analytic system, the pollen granule sub-image data that are used for pollen granule sub-image data acquisition system (DAS) is obtained are analyzed, and comprise image processing module, the identification measurement module, statistical treatment module, statistical analysis module, print display module, wherein
Image processing module is used for pollen granule sub-image data are carried out picture straight line or curve; Draw various figures; Deepen literal and/or filling; Pollen granule sub-image data are carried out the puppet coloured silk handles, rotates, duplicates; Mobile view picture or partial pollen particle image data; Pollen granule sub-image data are amplified, dwindled to interpolation; Pollen granule sub-image data are carried out brightness, contrast adjustment; Pollen granule sub-image data are carried out smoothing processing; Pollen granule sub-image data are carried out sharp keenization, embossment, border enhancement process; Pollen particle in the pollen granule sub-image data is carried out burn into form expanded, that expand, shrink to be handled, pollen granule sub-image data are carried out the overlapping processing of copolymerization of different depth of field pictures, give the identification measurement module the pollen granule sub-image data transmission after handling;
Identification measurement module, the pollen granule sub-image data after being used for image processing module handled discern measure break through, classification, obtain the data of the number of pollen particle, give the statistical treatment module with the data transmission of the number of the pollen particle that obtains;
The statistical treatment module is used for that the data of the number of the pollen particle that obtains of identification measurement module are carried out data statistics and handles, and the data transmission of the number of the pollen particle after data statistics is handled is given statistical analysis module;
Described data statistics processing comprises data statistics mean value, intermediate value, standard deviation, square value, minimum value, the maximal value to the number of the pollen particle that obtains; Be used for the statistical treatment of survey area, diameter, girth, particle size, length, width, average variance, particle position, data programing amount, 3 D stereo parameter with data to the number of the pollen particle that obtains.
Statistical analysis module, the data of the number of the pollen particle after the data statistics that is used for that the statistical treatment module is obtained is handled carry out data analysis to be handled, and obtains the result after data analysis is handled, and the result after the data analysis processing is outputed to the printing display module;
The number that comprises the pollen particle after logarithm is according to statistics handled in described data analysis data based actually requires to carry out difference and classifies all kinds of charts of the different demands that are resolved.
Print display module, the printout as a result after the data analysis that is used for that statistical analysis module is obtained is handled also shows.
Be the test figure result who obtains by the present invention below.
Table 1. test figure statistics
| The print sequence number | Picture number (width of cloth) | True pollen number | Read accurate number | Misread number | The skip number |
| 1 | 150 width of cloth | 1925 | 1783 | 76 | 141 |
| 2 | 100 width of cloth | 1891 | 1703 | 95 | 190 |
| 3 | 119 width of cloth | 93 | 78 | 6 | 15 |
| Amount to | 369 width of cloth | 3909 | 3564 | 177 | 346 |
The total accuracy of reading rate of table 2. is analyzed
| The print sequence number | Read accurate rate | Misread rate | The skip rate | The statistics accuracy rate |
| 1 | 93％ | 4％ | 7％ | 97％ |
| 2 | 90％ | 5％ | 10％ | 95％ |
| 3 | 84％ | 6％ | 16％ | 90％ |
| On average | 89％ | 5％ | 11％ | 94％ |
From above-mentioned test figure as can be seen, use the present invention and carry out pollen discriminating and statistics, realized the function of automatic statistics pollen frequency, more than total counting number rate of accuracy reached to 70%, reduced the error of human factor.
The above; only for the preferable specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with the people of this technology in the disclosed technical scope of the present invention; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (10)
1. a pollen image data analysis method may further comprise the steps,
Step T1, pollen granule sub-image data are carried out Flame Image Process; Described Flame Image Process comprises carries out picture straight line or curve to pollen granule sub-image data; Draw various figures; Deepen literal and/or filling; Pollen granule sub-image data are carried out the puppet coloured silk handles, rotates, duplicates; Mobile view picture or partial pollen particle image data; Pollen granule sub-image data are amplified, dwindled to interpolation;
Step T2, the pollen granule sub-image data after the Flame Image Process are discerned measurement, breakthrough, classification, obtain the data of the number of pollen particle;
Step T3, the data of the number of the pollen particle that obtains are carried out data statistics handle, data statistics mean value, intermediate value, standard deviation, square value, minimum value, the maximal value that comprises the number of the pollen particle that obtains handled in described data statistics;
Step T4, the data of the number of the pollen particle after the data statistics are carried out data analysis handle, obtain the result after data analysis is handled.
2. the method for claim 1 is characterized in that, among the described step T1, described Flame Image Process comprises carries out brightness, contrast adjustment to pollen granule sub-image data; Pollen granule sub-image data are carried out smoothing processing; Pollen granule sub-image data are carried out sharp keenization, embossment, border enhancement process; Pollen particle in the pollen granule sub-image data is carried out burn into form expanded, that expand, shrink handle, pollen granule sub-image data are carried out the overlapping processing of copolymerization of different depth of field pictures.
3. the method for claim 1, it is characterized in that, among the described step T3, described data statistics processing comprises that the data to the number of the pollen particle that obtains are used for the statistical treatment of survey area, diameter, girth, particle size, length, width, average variance, particle position, data programing amount, 3 D stereo parameter.
4. the method for claim 1 is characterized in that, among the described step T4, the number that comprises the pollen particle after logarithm is according to statistics handled in described data analysis data based actually requires to carry out difference and classify all kinds of charts of the different demands that are resolved.
5. the method for claim 1 is characterized in that, comprises behind the described step T4, and the printout as a result after described data analysis is handled also shows.
6. a pollen image data analytic system is characterized in that, comprises image processing module, the identification measurement module, and the statistical treatment module, statistical analysis module, wherein,
Image processing module is used for pollen granule sub-image data are carried out the straight or curve of picture; Draw various figures; Deepen literal and/or filling; Pollen granule sub-image data are carried out the puppet coloured silk handles, rotates, duplicates; Mobile view picture or partial pollen particle image data; Pollen granule sub-image data are amplified, dwindled to interpolation; Give the identification measurement module with the pollen granule sub-image data transmission after handling;
Identification measurement module, the pollen granule sub-image data after being used for image processing module handled discern measure break through, classification, obtain the data of the number of pollen particle, give the statistical treatment module with the data transmission of the number of the pollen particle that obtains;
The statistical treatment module is used for that the data of the number of the pollen particle that obtains of identification measurement module are carried out data statistics and handles, and the data transmission of the number of the pollen particle after data statistics is handled is given statistical analysis module; Described data statistics processing comprises data statistics mean value, intermediate value, standard deviation, square value, minimum value, the maximal value to the number of the pollen particle that obtains;
Statistical analysis module, the data of the number of the pollen particle after the data statistics that is used for that the statistical treatment module is obtained is handled carry out data analysis to be handled, and obtains the result after data analysis is handled.
7. system as claimed in claim 6 is characterized in that, described image processing module also is used for pollen granule sub-image data are carried out brightness, contrast adjustment; Pollen granule sub-image data are carried out smoothing processing; Pollen granule sub-image data are carried out sharp keenization, embossment, border enhancement process; Pollen particle in the pollen granule sub-image data is carried out burn into form expanded, that expand, shrink handle, pollen granule sub-image data are carried out the overlapping processing of copolymerization of different depth of field pictures.
8. system as claimed in claim 6, it is characterized in that described data statistics processing comprises that the data to the number of the pollen particle that obtains are used for the statistical treatment of survey area, diameter, girth, particle size, length, width, average variance, particle position, data programing amount, 3 D stereo parameter.
9. system as claimed in claim 6, it is characterized in that, the number that comprises the pollen particle after logarithm is according to statistics handled in the described data analysis of described statistical analysis module data based actually requires to carry out difference and classifies all kinds of charts of the different demands that are resolved.
10. system as claimed in claim 6 is characterized in that, also comprises the printing display module, and the printout as a result after the data analysis that is used for that statistical analysis module is obtained is handled also shows.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200710175218A CN100595559C (en) | 2007-09-27 | 2007-09-27 | Pollen image data analysis method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN200710175218A CN100595559C (en) | 2007-09-27 | 2007-09-27 | Pollen image data analysis method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN101126700A true CN101126700A (en) | 2008-02-20 |
| CN100595559C CN100595559C (en) | 2010-03-24 |
Family
ID=39094778
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN200710175218A Expired - Fee Related CN100595559C (en) | 2007-09-27 | 2007-09-27 | Pollen image data analysis method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN100595559C (en) |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101126699B (en) * | 2007-09-27 | 2010-07-21 | 中国气象局北京城市气象研究所 | Pollen grain image data collecting system |
| CN101855965A (en) * | 2010-05-21 | 2010-10-13 | 上海皓镧电脑配件有限公司 | Integral intelligent spore trapping device |
| CN102288606A (en) * | 2011-05-06 | 2011-12-21 | 山东农业大学 | Pollen viability measuring method based on machine vision |
| CN103868842A (en) * | 2014-02-11 | 2014-06-18 | 中国农业科学院蜜蜂研究所 | Method for detecting quantity of stigma pollens after pollination of flowering plants |
| CN108572125A (en) * | 2018-06-09 | 2018-09-25 | 中国农业科学院草原研究所 | Dust storm region sand particle size and distributed number acquisition statistic device and method |
| CN108872096A (en) * | 2018-07-11 | 2018-11-23 | 中国农业科学院蜜蜂研究所 | A kind of multifarious measurement method of honeybee herborization pollen |
| CN108918349A (en) * | 2018-03-23 | 2018-11-30 | 张家港康得新光电材料有限公司 | Measure the device and method of the dispersate number of particles and/or partial size in disperse system |
| CN116067852A (en) * | 2022-11-09 | 2023-05-05 | 四川东鹏农海科技有限公司 | Device for measuring suspended pollen particle number and application method thereof |
-
2007
- 2007-09-27 CN CN200710175218A patent/CN100595559C/en not_active Expired - Fee Related
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101126699B (en) * | 2007-09-27 | 2010-07-21 | 中国气象局北京城市气象研究所 | Pollen grain image data collecting system |
| CN101855965A (en) * | 2010-05-21 | 2010-10-13 | 上海皓镧电脑配件有限公司 | Integral intelligent spore trapping device |
| CN101855965B (en) * | 2010-05-21 | 2013-01-09 | 上海皓镧电脑配件有限公司 | Integral intelligent spore trapping device |
| CN102288606A (en) * | 2011-05-06 | 2011-12-21 | 山东农业大学 | Pollen viability measuring method based on machine vision |
| CN102288606B (en) * | 2011-05-06 | 2013-04-03 | 山东农业大学 | Pollen viability measuring method based on machine vision |
| CN103868842A (en) * | 2014-02-11 | 2014-06-18 | 中国农业科学院蜜蜂研究所 | Method for detecting quantity of stigma pollens after pollination of flowering plants |
| CN108918349A (en) * | 2018-03-23 | 2018-11-30 | 张家港康得新光电材料有限公司 | Measure the device and method of the dispersate number of particles and/or partial size in disperse system |
| CN108572125A (en) * | 2018-06-09 | 2018-09-25 | 中国农业科学院草原研究所 | Dust storm region sand particle size and distributed number acquisition statistic device and method |
| CN108572125B (en) * | 2018-06-09 | 2023-08-22 | 中国农业科学院草原研究所 | Sand grain size and quantity distribution acquisition and statistics device and method for sand blasting area |
| CN108872096A (en) * | 2018-07-11 | 2018-11-23 | 中国农业科学院蜜蜂研究所 | A kind of multifarious measurement method of honeybee herborization pollen |
| CN116067852A (en) * | 2022-11-09 | 2023-05-05 | 四川东鹏农海科技有限公司 | Device for measuring suspended pollen particle number and application method thereof |
| CN116067852B (en) * | 2022-11-09 | 2023-10-03 | 四川东鹏农海科技有限公司 | Device for measuring suspended pollen particle number and application method thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN100595559C (en) | 2010-03-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100595559C (en) | Pollen image data analysis method and system | |
| JP6437947B2 (en) | Fully automatic rapid microscope slide scanner | |
| CN101126699B (en) | Pollen grain image data collecting system | |
| CN108956645A (en) | A kind of the optical mirror slip defect detecting device and method of more vision systems | |
| CN105408069B (en) | Borescope manipulates adjustment system and method | |
| CN104568873B (en) | A kind of laser scanning co-focusing microscope being imaged to fluorescent material | |
| CN100454078C (en) | Method for preparing microscopic image of holographic digitalized sliced sheet | |
| WO2021093109A1 (en) | Mobile phone-based miniature microscopic image acquisition device, image splicing method, and image recognition method | |
| CN202771098U (en) | PC interface control type imaging microscope | |
| CN106403853A (en) | Stone material surface roughness on-line detection device and stone material surface roughness on-line detection method | |
| CN101354240A (en) | Micro nano-scale fiber high precision measuring system based on micro-optical | |
| CN111340798A (en) | Application of deep learning in product appearance flaw detection | |
| CN101592653A (en) | Fully automatic operation instrument for routine inspection of excrement | |
| CN103984979A (en) | Lens-diffraction-imaging-free automatic algae detection and counting device and method | |
| CN109182081A (en) | A kind of unicellular separation system based on image processing model | |
| CN110031478A (en) | A kind of super-resolution defect detecting device and detection method based on hyperoscillating lens | |
| CN107727657A (en) | A kind of diamond identity authentication instrument | |
| CN2612943Y (en) | Micro particle graininess laser imaging measuring apparatus | |
| WO2022097356A1 (en) | Optical microscope system based on ergonomic field of view | |
| CN104913731A (en) | Laser differential confocal microscope measurement and control system | |
| WO2023031622A1 (en) | System and method for identifying and counting biological species | |
| Gilbertson et al. | Clinical slide digitization: whole slide imaging in clinical practice experience from the university of pittsburgh | |
| CN115629072A (en) | Bone marrow smear image analysis and diagnosis method and pathological section scanner device | |
| Allen et al. | Automatic recognition of light microscope pollen images | |
| CN114067049A (en) | Model generation method based on optical microscopy |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20100324 Termination date: 20110927 |